Senior Perception Engineer

Sourced from feeny.ai

AgZen, a precision agriculture startup built on MIT research, is hiring a Senior Perception Engineer to own and develop its computer vision perception platform for real-time spray measurement and control. You will build deep-learning models for detection, segmentation, optical flow, and 3D reconstruction, and optimize them for power-efficient edge deployment. The role sits at the intersection of machine learning, computer vision, and embedded hardware, working closely with software, firmware, and product teams. This is an in-person role in Somerville, MA.

• Develop advanced computer vision models for real-time detection and decision-making in spraying systems
• Implement deep-learning models for object segmentation, classification, optical flow, and 3D reconstruction
• Architect end-to-end models and merge existing networks for improved performance
• Apply quantization and other techniques for power-efficient edge execution
• Improve model accuracy and inference speed in edge deployment scenarios
• Build data processing and annotation pipelines with the software team
• Collaborate with hardware, firmware, and product teams to integrate vision models
• Analyze field performance, diagnose model behavior, and validate improvements experimentally
• Establish best practices for versioning, testing, deployment, and continuous improvement
• Communicate progress, risks, and recommendations to engineering and product leadership

• Bachelor's or graduate degree in Computer Science, Electrical Engineering, or related field
• 5+ years of experience in computer vision/perception with a deep learning and ML foundation
• Experience with real-time or edge-based inference and integrating models with hardware or embedded systems
• Demonstrated ability to design experiments, analyze results, and iterate quickly
• Deep experience training and validating CV models (detection, segmentation, classification) in real-world environments
• Proven ability to architect end-to-end computer vision pipelines
• Expertise in MLOps practices and tooling (MLflow, W&B, or similar)
• Advanced software engineering knowledge (design, source control, build, code review, testing)
• Advanced scientific Python (NumPy, Pandas, scikit-learn) and PyTorch and/or TensorFlow
• Experience operating end-to-end data or ML pipelines for reliability, scale, and observability
• Clear communication and cross-functional collaboration skills

• Master's/PhD in Computer Science, Robotics, or related field
• Experience in agriculture, environmental, or life sciences
• Robust SQL skills
• Experience with data science on real-world physical sensor data
• Experience building data visualization tools for non-technical users
• Experience with ML models relevant to biological or crop protection outcomes
• Familiarity with embedded systems and edge model optimization